End of training
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README.md
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---
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base_model: nadsoft/Hamsa-large-v0.1-beta
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: hamsa-pretrained
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# hamsa-pretrained
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This model is a fine-tuned version of [nadsoft/Hamsa-large-v0.1-beta](https://huggingface.co/nadsoft/Hamsa-large-v0.1-beta) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4344
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- Wer: 29.2057
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---
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base_model: nadsoft/Hamsa-large-v0.1-beta
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- nadsoft/QASR-Speech-Resource
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metrics:
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- wer
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model-index:
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- name: hamsa-large-pretrained
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: nadsoft/QASR-Speech-Resource default
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type: nadsoft/QASR-Speech-Resource
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metrics:
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- name: Wer
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type: wer
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value: 29.205723913714138
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# hamsa-large-pretrained
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This model is a fine-tuned version of [nadsoft/Hamsa-large-v0.1-beta](https://huggingface.co/nadsoft/Hamsa-large-v0.1-beta) on the nadsoft/QASR-Speech-Resource default dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4344
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- Wer: 29.2057
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all_results.json
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{
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"epoch": 0.18,
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"eval_loss": 0.4343973398208618,
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"eval_runtime": 6177.873,
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"eval_samples_per_second": 0.81,
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"eval_steps_per_second": 0.203,
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"eval_wer": 29.205723913714138,
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"train_loss": 0.7804906897136143,
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"train_runtime": 406099.0091,
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"train_samples_per_second": 0.689,
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"train_steps_per_second": 0.086
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}
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eval_results.json
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{
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"epoch": 0.18,
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"eval_loss": 0.4343973398208618,
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"eval_runtime": 6177.873,
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"eval_samples_per_second": 0.81,
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"eval_steps_per_second": 0.203,
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"eval_wer": 29.205723913714138
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}
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runs/Jan30_13-41-29_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1707034551.ip-10-0-3-5.eu-west-1.compute.internal.3710.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd39bb5c5483e189918cd9904b69e3c713a62423a9792f80d1f3797cfc6fa698
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size 412
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train_results.json
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{
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"epoch": 0.18,
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"train_loss": 0.7804906897136143,
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"train_runtime": 406099.0091,
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"train_samples_per_second": 0.689,
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"train_steps_per_second": 0.086
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}
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trainer_state.json
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